Roura Padrosa, David; Paradisi, Francesca (2023). Bioinformatic analysis of immobilized enzymes: towards a better understanding of the guiding forces. ChemBioChem, 24(11), e202200723. Wiley 10.1002/cbic.202200723
Full text not available from this repository. (Request a copy)Protein bioinformatics has been applied to a myriad of opportunities in biocatalysis, from enzyme engineering to enzyme discovery, but its application in enzyme immobilization is still very limited. Enzyme immobilization brings clear advantages form the sustainability and cost-efficiency terms but is nowadays still limited in its implementation. This, because it is a technique that remains tied to a quasi-blind protocol of trial and error, and therefore, is regarded as a time intensive and costly approach. Here, we present the use of a set of bioinformatic tools to rationalize results of protein immobilization that have been previously described. The study of this proteins through these new tools, allows the discovery of key driving forces in the process of immobilization that explain the obtained results, moving us a step forward to the final goal: predictive enzyme immobilization protocols.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Department of Chemistry, Biochemistry and Pharmaceutical Sciences (DCBP) |
UniBE Contributor: |
Roura Padrosa, David, Paradisi, Francesca |
Subjects: |
500 Science > 570 Life sciences; biology 500 Science > 540 Chemistry |
ISSN: |
1439-7633 |
Publisher: |
Wiley |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
10 Mar 2023 08:50 |
Last Modified: |
02 Jun 2023 00:13 |
Publisher DOI: |
10.1002/cbic.202200723 |
PubMed ID: |
36892572 |
Uncontrolled Keywords: |
Enzyme immobilization biocatalysis bioinformatics protein modelling |
URI: |
https://boris.unibe.ch/id/eprint/179840 |
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